ADSAI 2022 Posters

The following contributors were selected to present posters at the conference and you can view their posters using the links provided.

Genetic Algorithms for the Design of Manufacturing Systems
April Bryan, Lecturer in Advanced Manufacturing, The University of Manchester

Signed Graph Convolutional Networks for node classification
Thu Trang Dinh, PhD Candidate, The University of Manchester

Robustifying mixture models using integral probability metric
Adam Farooq, Aston University and Yordan Raykov, The University of Nottingham

Structure Learning of Bayesian Networks: Challenges and Opportunities
Zhigao Guo, Postdoctoral Research Associate, The University of Manchester

AI in the Boardroom: Let the Law be in the Driving Seat
Joseph Lee, Reader in Corporate and Financial Law, The University of Manchester
Co-author: Peter Underwood

On NFT Art and its Price
Min-Bin Lin, PhD Candidate, Humboldt University, Berlin
Co-authors: Vanessa Emanuela Guarino and Cathy Yi-Hsuan Chen

Realised Volatility Forecasting: Machine Learning via Financial Word Embedding
Eghbal Rahimikia, Lecturer in Finance and PhD Candidate, The University of Manchester
Co-authors: Stefan Zohreen and Ser-Huang Poon

Topological Data Analysis for Economics and Finance
Simon Rudkin, Senior Lecturer, The University of Manchester
Co-authors: Pawel Dlotko and Wanling Qiu

Exploring Rawlsian Fairness for k-means Clustering
Stanley Simoes, Marie Curie Early Stage Researcher, Queen’s University, Belfast
Co-authors: Deepak P and Muiris MacCarthaigh

Dialogue Explanation With Reasoning For AI
Yifan Xu, PhD Candidate, The University of Manchester